Accurate economic dispatch solution using hybrid whale-wolf optimization method

The aim of economic dispatch is to allocate the generated power to minimize the total fuel costs while satisfying the overall constraints. In this paper, we propose a hybrid whale-wolf optimization method to accurately solve the economic dispatch problem. The proposed method efficiently integrates the mechanisms of whale optimization algorithm and gray wolf optimization with crossover and mutation operators. To demonstrate the effectiveness of the proposed method, it is compared with six optimization methods: gray wolf optimization, whale optimization, particle swarm optimization, artificial bee colony algorithm, ant lion algorithm, and dragonfly algorithm. Two different test systems (6 and 10 generating units) are used to evaluate the performance of the proposed method. The experimental results show that the hybrid whale-wolf optimization method shows better performance to find the optimal solution of the economic dispatch problem compared to the other methods.